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-processing (noise-reduction, calibration) and analyzing sensor data; You work towards combining sensor fusion and inversion algorithms to interpret 3D subsurface variations; You participate in (international
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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monitoring disturbances from both satellites and ground-based sensors. The latter is expected to contribute to the further development of the pylidar repository. This PhD project will be promoted by prof. Kim
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital
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Job description You will be responsible for advancing the current state of metaproteomics bioinformatics by developing novel, high-performance algorithms for improved identification and annotation
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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to study effects of (TI)-DBS on ex vivo brain slices and in vivo rodent models. Develop advanced closed-loop neurostimulation algorithms. Engage in a cross-disciplinary team, collaborating with experts